---
license: apache-2.0
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: fine_tuned_gpt2_clm-model
  results: []
datasets:
- eli5
metrics:
- perplexity
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# fine_tuned_gpt2_clm-model

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6233
- Perplexity: 37.46

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5982        | 1.0   | 555  | 3.6067          |
| 3.5546        | 2.0   | 1110 | 3.6103          |
| 3.5102        | 3.0   | 1665 | 3.6054          |
| 3.4797        | 4.0   | 2220 | 3.6033          |
| 3.4634        | 5.0   | 2775 | 3.6053          |
| 3.4315        | 6.0   | 3330 | 3.6046          |
| 3.4116        | 7.0   | 3885 | 3.6077          |
| 3.3934        | 8.0   | 4440 | 3.6121          |
| 3.3741        | 9.0   | 4995 | 3.6158          |
| 3.3443        | 10.0  | 5550 | 3.6175          |
| 3.335         | 11.0  | 6105 | 3.6219          |
| 3.3203        | 12.0  | 6660 | 3.6227          |
| 3.3123        | 13.0  | 7215 | 3.6206          |
| 3.3154        | 14.0  | 7770 | 3.6220          |
| 3.3057        | 15.0  | 8325 | 3.6233          |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3